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EBOOK
Author Hernández, Morela, 1980-
Title How Algorithms Can Diversify the Startup Pool / Hernandez, Morela.
Imprint MIT Sloan Management Review, 2019.
Edition First edition.

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SAFARI EBOOKS    ONLINE  
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LOCATION CALL # STATUS MESSAGE
 OHIOLINK SAFARI EBOOKS    ONLINE  
View online
Author Hernández, Morela, 1980-
Alt Name Raveendhran, Roshni,
Weingarten, Elizabeth,
Barnett, Michaela,
Safari, an O'Reilly Media Company.
Description 1 online resource (10 pages)
polychrome rdacc
Edition First edition.
Summary Biases related to gender and other demographic factors creep into decisions about which projects to fund with venture capital. Data-driven approaches can help tease out those biases and limit their impact. Algorithmic methods identify potential instances of discrimination and increase transparency, making it easier to find and fix problems. Aversion to algorithms can be tempered by letting decision makers retain some subjective control over the data-driven process.
Note Copyright 2019 MIT Sloan Management Review 2019
Issued By Made available through: Safari, an O'Reilly Media Company.
Note Online resource; Title from title page (viewed August 21, 2019)
ISBN 53863MIT61104
ISBN/ISSN 53863MIT61104
OCLC # 1143014996


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